6 Ofertas de Inteligencia Artificial en Costa Rica

We are looking for a skilled and motivated Senior Machine Learning Engineer to join our team and contribute to the development of our clients' cutting-edge personalization and recommendation systems.

This role is ideal for a hands-on engineer who is passionate about building and deploying sophisticated ML models that have a direct impact on user experience. You will work on the end-to-end ML lifecycle, from data to deployment, with a focus on advanced techniques like Graph Neural Networks (GNNs) and hybrid Generative AI systems.

About First Factory

We are a software development company with over two decades of experience, boasting a dynamic team of 180+ professionals actively engaged in diverse projects across various industries. We invite you to join us on this journey as we thrive and embrace fresh challenges.

Key Responsibilities

• Design, build, and maintain scalable machine learning models for personalization and recommendation.
• Implement and experiment with advanced algorithms, including Graph Neural Networks (GNNs) and candidate selection models.
• Contribute to the development of hybrid systems that integrate traditional ML models with Large Language Models (LLMs).
• Collaborate with cross-functional teams, including product, engineering, and data science, to define requirements and deliver solutions.
• Participate in the entire ML lifecycle, from data preprocessing and feature engineering to model training, deployment, and monitoring.
• Write clean, maintainable, and well-tested code for ML models and pipelines.
• Stay up-to-date with the latest advancements in machine learning and actively contribute to the team's technical growth.

Requirements

• 5+ years of professional experience in machine learning or a related field.
• Strong programming skills in Python and experience with common ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience building and deploying machine learning models in a production environment.
• Experience with personalization, recommendation systems, or a similar area.
• Solid understanding of machine learning concepts and algorithms.
• Experience with at least one major cloud platform (GCP, AWS, Azure).

Nice to have

• Experience with Graph Neural Networks (GNNs).
• Experience with Generative AI and Large Language Models (LLMs).
• Experience with MLOps tools and practices.
• Experience with big data technologies like Spark.
• Master's degree or PhD in Computer Science, Machine Learning, or a related field.

We are seeking an expert Principal Machine Learning Engineer to lead the development of our Client's next-generation personalization and recommendation systems. This is a senior, hands-on leadership role focused on designing and implementing sophisticated ML models to drive user engagement. You will be responsible for the end-to-end ML lifecycle, from defining the technical approach to building and deploying cutting-edge models, including Graph Neural Networks (GNNs) and hybrid Generative AI systems.

The ideal candidate will not only possess deep technical expertise but also have a proven ability to lead technical strategy, mentor team members, and influence team dynamics.

About First Factory

We are a software development company with over two decades of experience, boasting a dynamic team of 180+ professionals actively engaged in diverse projects across various industries. We invite you to join us on this journey as we thrive and embrace fresh challenges.

Key Responsibilities

• Lead the architectural design and development of highly scalable personalization and recommendation engines.
• Research, build, and implement advanced machine learning models, including Graph Neural Networks (GNNs) for complex relationship modeling and sophisticated candidate selection algorithms.
• Pioneer the integration of Generative Al, architecting hybrid systems that combine traditional ML models with Large Language Models (LLMs) to create novel user experiences.
• Define the technical roadmap and ML strategy, making key decisions on frameworks, tools, and methodologies.
• Drive the integration and consolidation of multiple ML models into a cohesive and efficient production system.
• Mentor and guide other ML engineers, fostering a culture of technical excellence and innovation.
• Oversee the entire ML lifecycle, including data processing, model training, deployment, monitoring, and continuous improvement.

Requirements

• 8+ years of experience in machine learning or software engineering, with a strong portfolio of deployed production models.
• Proven experience leading the technical direction of complex ML projects and mentoring engineers.
• Deep expertise in designing and building personalization and recommendation systems from the ground up.
• Hands-on experience with advanced modeling techniques, specifically including Graph Neural Networks (GNNs).
• Demonstrated experience with Generative Al and the practical application of Large Language Models (LLMs) in a hybrid system.
• Expert-level proficiency in Python and associated ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
• Strong foundation in MLOps, including model deployment, automation, and monitoring in a major cloud environment (GCP, AWS, or Azure).

Nice to have

• MS in Computer Science, Statistics, or a related quantitative field.
• Publications in top-tier machine learning conferences (e.g., NeurlPS, ICML, KDD, RecSys).
• Experience with large-scale data processing frameworks such as Apache Spark.
• Familiarity with vector databases (e.g., Pinecone, Milvus) and retrieval systems.
• Experience with specific GNN frameworks like PyTorch Geometric (PyG) or Deep Graph Library (DGL).

Description
The Prime Air team is looking for an experienced Machine Learning Data Analyst who enjoys working on data processing tasks that will work to ensure the continuous functioning of our systems. Insisting on the highest standards is an important part of our day-to-day work as we focus on accuracy of work, metrics, and quality improvement. The selected candidate must be capable of independently delivering high quality work under the given time frames.

We look for someone who is detail-oriented and able to learn and adapt quickly to support the team on meeting our weekly goals. As well as the ability to multitask across several domains and work independently.

Our organization strives to coordinate and balance tasks as per our customer's current demands, perform basic quality audits, identify root cause for failures and gaps, adapt quickly to changing specifications and work with Process Leads and stakeholders to improve processes.

Key job responsibilities

As a Data Associate some of your responsibilities will be, but not limited to:

• Be the go-to expert for our ML data team, guiding others on how to collect and label data correctly while managing various projects
• Help create high-quality training data for our ML models by carefully reviewing and labeling complex data examples
• Create and update clear instructions and guidelines that help our team work consistently and efficiently
• Monitor and improve the quality of our data by tracking important measurements and finding ways to make our processes better
• Work closely with engineers, scientists, and project managers to improve how we handle and process data
• Solve complex problems by finding their root causes and implementing lasting solutions
• Help make our tools and processes more efficient, often through automation
• Keep projects on track by coordinating with team members and clearly communicating progress
• Lead initiatives to make our workflows better and more efficient, helping the team adopt best practices
• Support our ML team by helping improve how our algorithms work and making sure they meet quality standards

About The Team
At Amazon Prime Air, we're solving a unique challenge: delivering packages to customers in under an hour using autonomous delivery drones. Our mission combines safety, efficiency, and scalability to revolutionize last-mile delivery.

Our diverse team of scientists, engineers, and aerospace experts is actively developing and operating delivery services in select locations. We're looking for talented individuals to join us as we expand our operations and enhance our delivery capabilities.

Learn more about our recent developments and progress on Amazon's About Amazon blog:

Basic Qualifications

• English language proficiency (written and spoken)
• 2+ years experience in Machine Learning and/or Data Labeling annotation activities.
• Working experience with digital visual content and/or machine learning activities, such as using image/video annotation tools, creating annotation guidelines for visual datasets, etc.
• Proficient in Microsoft Excel with intermediate-level skills, including experience with data analysis, formulae, and data visualization.
• Familiarity with database management systems.

Preferred Qualifications

• Bachelor's degree in process or completed in Computer Science, IT, Business Administration, Industrial Engineering, Visual/Graphic Design or Audiovisual Production or related field.
• Working experience in Linux systems administration skills.
• Experience with Kaizen or other process improvement methodologies.
• Experience troubleshooting complex systems.
• Working exposure to 3D modeling, and/or gaming development.
• Strong problem-solving and analytical thinking abilities.
• Excellent communication and documentation skills.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company
- Amazon Support Services Costa Rica SRL

Job ID: A